Bump PyTorch pin to 2025-03-25

.ci/docker/ci_commit_pins/pytorch.txt

@@ -1 +1 @@
-7ae0ce6360b6e4f944906502d20da24c04debee5
+59d5cf083b4f860dea76fe8936076177f9367f10

backends/arm/test/models/test_conformer.py

@@ -31,7 +31,7 @@ class TestConformer(unittest.TestCase):
     # .to_executorch step, i.e. after Arm partitioner.
     ops_after_partitioner = {
         "executorch_exir_dialects_edge__ops_aten_max_default": 1,
-        "torch.ops.aten._assert_scalar.default": 10,
+        "torch.ops.aten._assert_scalar.default": 7,
         "torch.ops.aten._local_scalar_dense.default": 1,
     }
 

install_requirements.py

@@ -71,7 +71,7 @@ def python_is_compatible():
 #
 # NOTE: If you're changing, make the corresponding change in .ci/docker/ci_commit_pins/pytorch.txt
 # by picking the hash from the same date in https://hud.pytorch.org/hud/pytorch/pytorch/nightly/
-NIGHTLY_VERSION = "dev20250310"
+NIGHTLY_VERSION = "dev20250325"
 
 
 def install_requirements(use_pytorch_nightly):
@@ -80,7 +80,7 @@ def install_requirements(use_pytorch_nightly):
         # Setting use_pytorch_nightly to false to test the pinned PyTorch commit. Note
         # that we don't need to set any version number there because they have already
         # been installed on CI before this step, so pip won't reinstall them
-        f"torch==2.7.0.{NIGHTLY_VERSION}" if use_pytorch_nightly else "torch",
+        f"torch==2.8.0.{NIGHTLY_VERSION}" if use_pytorch_nightly else "torch",
         (
             f"torchvision==0.22.0.{NIGHTLY_VERSION}"
             if use_pytorch_nightly